Title :
Exploratory data mining and analysis using CONQUEST
Author :
Mesrobian, E. ; Muntz, R.R. ; Shek, E.C. ; Santos, J.R. ; Yi, J. ; Ng, K. ; Chien, S.-Y. ; Mechoso, C.R. ; Farrara, J.D. ; Stolorz, P. ; Nakamura, H.
Author_Institution :
Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA
Abstract :
Exploratory data mining and analysis requires an extensible environment which provides facilities for the user-friendly expression and rapid execution of “scientific queries”. The authors present the CONQUEST (parallel query processing system) environment and illustrate its use for exploratory data analysis and data mining of spatio-temporal phenomena from geophysical datasets
Keywords :
data analysis; data visualisation; distributed databases; geophysical techniques; geophysics; geophysics computing; iterative methods; knowledge acquisition; parallel processing; query processing; CONQUEST environment; exploratory data analysis; exploratory data mining; geophysical datasets; parallel query processing system; scientific queries; spatio-temporal phenomena; Computer science; Data analysis; Data mining; Data models; Data visualization; Environmental management; Laboratories; Propulsion; Query processing; Spatiotemporal phenomena;
Conference_Titel :
Communications, Computers, and Signal Processing, 1995. Proceedings., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-2553-2
DOI :
10.1109/PACRIM.1995.519462
